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ESTIMATED SCORE — NOT VERIFIED
This assessment is based solely on publicly available documentation, marketing materials, and product announcements. Google Vertex AI has not submitted to AgentGoverning for independent adversarial verification. This score is an estimate only and may not reflect actual platform capabilities. Google Vertex AI is invited to submit for formal assessment at framework@agentgoverning.com. Estimated scores carry no certification status.
How This Score Is Calculated

This estimated score reflects publicly documented agent deployment governance capabilities assessed across 10 capability categories against the 508 Agent Audit dimensions of AGS v2.2:
• Mandate & autonomy (27 dims)
• Agent orchestration (65 dims)
• Trust & identity (30 dims)
• Detection & containment (35 dims)
• Financial controls (45 dims)
• Human oversight (7 dims)
• Memory & knowledge (18 dims)
• Sector-specific (180 dims)
• Other core governance (93 dims)
• Deployment & lifecycle (8 dims)

Each category scored 0–100% based on public documentation coverage. Overall score = weighted average across all 10 categories.

Based solely on publicly available documentation as of April 2026.

11 / 508 ESTIMATED

Google Vertex AI

11% estimated AGS Agent Audit compliance
Assessment: April 2026 · AGS v2.2 Agent Audit (Track 2) · Estimated (not independently verified)
ESTIMATED Agent Audit — Track 2
What This Score Means
Google Vertex AI provides agent deployment infrastructure (Agent Engine, Agent Builder) and basic safety filtering (Model Armor), but limited agent-governance-specific architecture is evidenced in public documentation. Cloud IAM provides basic identity but not agent-specific governance. Model Armor filters content but is not documented as governing agent behaviour. The majority of Agent Audit dimensions are not evidenced in public documentation for this platform.. The platform is strong for model serving and agent deployment but governance is addressed through existing GCP infrastructure controls rather than agent-specific mechanisms.
Mandate
15%
Orchestration
10%
Trust
10%
Detection
15%
Financial
5%
Oversight
10%
Memory
10%
Sector
10%
Core
12%
Deployment
15%
Key Strengths
AG-018
Output Integrity Verification
Model Armor provides basic content filtering and output integrity checks, preventing harmful or policy-violating agent outputs.
Score: 1 / 3
AG-012
Agent Identity Assurance
Cloud IAM provides basic agent identity through service account mechanisms and role-based access controls.
Score: 1 / 3
AG-008
Governance Continuity
GCP infrastructure provides basic governance continuity through standard cloud service reliability and availability mechanisms.
Score: 1 / 3
The following gap analysis is based on publicly available documentation only. These are estimated structural gaps, not verified findings. Google Vertex AI may have implemented controls not visible in public documentation.
Critical Gaps
AG-057
Delegation Chain Governance
No delegation chain governance. Tracking or governance of how authority is delegated between agents in multi-agent systems is not evidenced in public documentation.
Score: 0 / 3 — Structurally Absent
AG-142
Autonomy Progression Governance
No graduated autonomy framework. Agent autonomy levels cannot be progressively adjusted based on demonstrated competence.
Score: 0 / 3 — Structurally Absent
AG-786
Cryptographic State Sealing
No cryptographic seal or tamper-resistance mechanism for agent state. Agent state integrity cannot be independently verified.
Score: 0 / 3 — Structurally Absent
Full Dimension Assessment
AreaStrongest CapabilitiesStatus
Strongest Documented Capabilities
DeploymentAgent deployment infrastructure (Agent Engine)Evidenced
DetectionContent filtering (Model Armor)Evidenced
IdentityAgent identity (Cloud IAM)Evidenced
DocumentationProvider documentationEvidenced
Structurally Absent Capabilities
MandateConstitutional governanceAbsent
OrchestrationMulti-agent topology governanceAbsent
OversightGraduated autonomyAbsent
OversightHuman factors governanceAbsent
CoreCompetence envelopesAbsent
CoreTruth/reward governanceAbsent
OrchestrationDelegation chain governanceAbsent
TrustTrust attestationAbsent
CoreCryptographic sealingAbsent
CoreFederated broadcastsAbsent
FinancialFinancial crime governanceAbsent
CoreAll agent-specific enforcementAbsent
Sources
  • Vertex AI Agent Builder documentation
  • Agent Engine GA
  • Cloud IAM
  • Model Armor
  • Google Cloud Blog
Sources reviewed: April 2026.
Agent Audit Industry Average (estimated): 15% · Based on publicly documented agent deployment governance capabilities across assessed platforms. Full leaderboard →
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Legal Disclaimer. This assessment is an independent estimate based on publicly available documentation and does not constitute legal, compliance, or certification advice. AgentGoverning is not affiliated with, endorsed by, or sponsored by Google LLC or Alphabet Inc. or their affiliates. "Google", "Vertex AI", "Google Cloud", "Cloud IAM", and "Model Armor" are trademarks of Google LLC. All scores are estimated and unverified. This page does not constitute a certification, endorsement, or guarantee of any kind. The assessment methodology, scoring criteria, and dimension definitions are the intellectual property of AgentGoverning and are licensed under CC BY 4.0. For formal verification, platforms must submit to independent adversarial assessment. Estimated scores may change as new documentation becomes available. AgentGoverning accepts no liability for decisions made based on estimated scores.